Winston Artory Group

Backend Engineer

• Own the entire backend architecture from day one—make the critical decisions on frameworks, databases, infrastructure, and patterns
• Define technical standards and best practices for code quality, testing, documentation, and deployment
• Lead system design for complex problems involving data ingestion, LLM orchestration, and real-time analytics
• Mentor and guide future backend engineers as the team grows (you'll likely hire and lead 2-3 backend engineers in your first year)
• Evaluate and adopt new technologies that improve velocity, reliability, or capabilities
• Build and scale core backend systems to ingest, clean, and serve structured data at scale
• Design clean, performant APIs to power our client portal, data tools, and internal services
• Integrate and orchestrate LLM APIs (e.g. OpenAI, Claude, open-source models) for use in appraisal automation, data extraction, and insight generation
• Architect event-driven systems and asynchronous pipelines (queues, pub/sub) for reliability and scale
• Own our infrastructure including CI/CD, observability, monitoring, and IaC (Terraform, AWS)
• Co-own technical vision with Head of Engineering: collaborate daily on architecture, technical roadmap, and engineering standards
• Partner closely with CPO and product team to shape roadmap based on technical feasibility and effort
• Collaborate with data and frontend engineers to define APIs, contracts, and integration patterns
• Work with company leadership (Head of Engineering, CPO, President) on technical strategy, hiring, and long-term platform vision
• Communicate technical decisions clearly to non-technical stakeholders

Staff Backend Software Engineer

Data Engineer

• Design and operate scalable data ingestion and web scraping systems
• Build batch and real-time pipelines to normalize, enrich, and version data across structured and unstructured sources
• Develop systems to support LLM- and ML-based document parsing, OCR, and classification
• Own the architecture of our data storage and processing stack, including PostgreSQL, data lakes, and data warehouses
• Operationalize AI/ML workflows by preparing clean training and inference datasets with robust lineage, validation, and error handling
• Integrate output with backend APIs, valuation services, and frontend analytics dashboards
• Collaborate across engineering and product to ship reliable, intelligent features quickly
• Contribute to our infrastructure tooling, including CI/CD, IaC (Terraform), and data observability

Senior Data Engineer

• Design and operate scalable data ingestion and web scraping systems
• Build batch and real-time pipelines to normalize, enrich, and version data across structured and unstructured sources
• Develop systems to support LLM- and ML-based document parsing, OCR, and classification
• Own the architecture of our data storage and processing stack, including PostgreSQL, data lakes, and data warehouses
• Operationalize AI/ML workflows by preparing clean training and inference datasets with robust lineage, validation, and error handling
• Integrate output with backend APIs, valuation services, and frontend analytics dashboards
• Collaborate across engineering and product to ship reliable, intelligent features quickly
• Contribute to our infrastructure tooling , including CI/CD, IaC (Terraform), and data observability

Winston Artory Group

Staff Backend Software Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Staff Backend Engineer

Staff Backend Engineer

Staff Backend Engineer